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2204.05149
Cited By
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
11 April 2022
David A. Patterson
Joseph E. Gonzalez
Urs Holzle
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
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HuggingFace (9 upvotes)
Papers citing
"The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink"
50 / 136 papers shown
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Sophia Ananiadou
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19 Nov 2025
Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation
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Xiaojun Chen
Bingshan Liu
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Zhendong Zhao
Xiaoyan Gu
DiffM
149
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12 Nov 2025
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
Jose Marie Antonio Minoza
Rex Gregor Laylo
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10 Nov 2025
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
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Jun Li
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108
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07 Nov 2025
The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
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Thai Le
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169
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29 Oct 2025
Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training
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25 Oct 2025
Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
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Frédéric Giroire
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128
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02 Oct 2025
ModernVBERT: Towards Smaller Visual Document Retrievers
Paul Teiletche
Quentin Macé
Max Conti
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Pierre Colombo
Manuel Faysse
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01 Oct 2025
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
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Yixue Liu
Mohamed Debbagh
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Valerio Hoyos-Villegas
Viacheslav Adamchuk
Shangpeng Sun
124
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30 Sep 2025
Are Humans as Brittle as Large Language Models?
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Sean Papay
Roman Klinger
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213
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Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
Jason Gardner
Ayan Dutta
Swapnoneel Roy
O. P. Kreidl
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75
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Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
Jingen Qu
L. Li
Bo Zhang
Yichen Yan
Jing Shao
128
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04 Sep 2025
Promptception: How Sensitive Are Large Multimodal Models to Prompts?
Mohamed Insaf Ismithdeen
Muhammad Uzair Khattak
Salman Khan
LRM
135
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04 Sep 2025
Measuring the environmental impact of delivering AI at Google Scale
Cooper Elsworth
Keguo Huang
David Patterson
Ian Schneider
Robert Sedivy
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Parthasarathy Ranganathan
J. Dean
Amin Vahdat
Ben Gomes
James Manyika
112
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21 Aug 2025
Comparing energy consumption and accuracy in text classification inference
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Tilman Hartwig
149
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A Comprehensive Evaluation framework of Alignment Techniques for LLMs
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Momin Abbas
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Luan Soares de Souza
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Raya Horesh
Yixin Chen
Heloisa Caroline de Souza Pereira Candello
Rebecka Nordenlow
Aminat Adebiyi
OffRL
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13 Aug 2025
Static and Plugged: Make Embodied Evaluation Simple
Jiahao Xiao
Jianbo Zhang
BoWen Yan
Shengyu Guo
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Xiaohong Liu
Zhengxue Cheng
Lei Fan
Chuyi Li
Guangtao Zhai
196
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06 Aug 2025
Prompting Large Language Models to Detect Dementia Family Caregivers
Md Badsha Biswas
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71
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On the Sustainability of AI Inferences in the Edge
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Tushar Sharma
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107
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Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation
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Zherui Li
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Yufei Guo
213
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25 Jul 2025
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
International Workshop on Green and Sustainable Software (GSS), 2025
Samarth Sikand
Rohit Mehra
Priyavanshi Pathania
Nikhil Bamby
Vibhu Saujanya Sharma
Vikrant Kaulgud
Sanjay Podder
Adam P. Burden
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10 Jun 2025
Brevity is the soul of sustainability: Characterizing LLM response lengths
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
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Janardan Misra
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Navveen Balani
Niloy Ganguly
Saptarshi Ghosh
238
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10 Jun 2025
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
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Ming Wang
Peidong Wang
Lin Wu
Xiaocui Yang
Daling Wang
Shi Feng
Yuxin Chen
B. Wang
Yifei Zhang
261
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Haolei Bai
Siyong Jian
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Yu Yin
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Gu-Yeon Wei
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Nuno Lourenço
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Energy Considerations of Large Language Model Inference and Efficiency Optimizations
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Clara Na
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Sasha Luccioni
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A Survey of Scaling in Large Language Model Reasoning
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Zhenyu Lei
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Cong Shen
Jundong Li
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502
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02 Apr 2025
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
Adrián Sánchez-Mompó
Ioannis Mavromatis
Peizheng Li
Konstantinos Katsaros
Aftab Khan
282
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31 Mar 2025
Entropy-based Exploration Conduction for Multi-step Reasoning
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Jinghan Zhang
Xiting Wang
Fengran Mo
Yeyang Zhou
Wanfu Gao
Kunpeng Liu
LRM
354
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20 Mar 2025
VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan
Zhi Rui Tam
Ya-Ting Pai
Yen-Wei Lee
Yun-Nung Chen
CoGe
435
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13 Mar 2025
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems
Proceedings of the ... International Conference on Automated Planning and Scheduling (ICAPS), 2025
Junwei Yu
Yepeng Ding
Hiroyuki Sato
LLMAG
AI4CE
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FairSense-AI: Responsible AI Meets Sustainability
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Mukund Sayeeganesh Chettiar
Matin Yousefabadi
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Pınar Tözün
Christian Igel
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Can LLM Agents Maintain a Persona in Discourse?
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Nicolas Fay
Michael Wise
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Usman Naseem
Mehwish Nasim
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North American Chapter of the Association for Computational Linguistics (NAACL), 2025
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Niloy Ganguly
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Eugene Bagdasarian
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Towards Sustainable Large Language Model Serving
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Beihao Zhou
Yi Ding
Sihang Liu
487
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How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
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Sanmi Koyejo
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SILM
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GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
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Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
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Gen Li
Shreyank N. Gowda
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Laura Sevilla-Lara
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A System Level Performance Evaluation for Superconducting Digital Systems
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Joyjit Kundu
Debjyoti Bhattacharjee
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Quentin Herr
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Fengran Mo
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Yeyang Zhou
Xinyue Ye
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Yanjie Fu
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457
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31 Oct 2024
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